Suppr超能文献

基于多壁碳纳米管-环氧树脂复合电极电化学检测和降解水中布洛芬。

Electrochemical detection and degradation of ibuprofen from water on multi-walled carbon nanotubes-epoxy composite electrode.

机构信息

Politehnica University of Timisoara, P-ta Victoriei No.2, 300006 Timisoara, Romania.

出版信息

J Environ Sci (China). 2013 Apr 1;25(4):838-47. doi: 10.1016/s1001-0742(12)60068-0.

Abstract

This work describes the electrochemical behaviour of ibuprofen on two types of multi-walled carbon nanotubes based composite electrodes, i.e., multi-walled carbon nanotubes-epoxy (MWCNT) and silver-modified zeolite-multi-walled carbon nanotubes-epoxy (AgZMWCNT) composites electrodes. The composite electrodes were obtained using two-roll mill procedure. SEM images of surfaces of the composites revealed a homogeneous distribution of the composite components within the epoxy matrix. AgZMWCNT composite electrode exhibited the better electrical conductivity and larger electroactive surface area. The electrochemical determination of ibuprofen (IBP) was achieved using AgZMWCNT by cyclic voltammetry, differential-pulsed voltammetry, square-wave voltammetry and chronoamperometry. The IBP degradation occurred on both composite electrodes under controlled electrolysis at 1.2 and 1.75 V vs. Ag/AgCl, and IBP concentration was determined comparatively by differential-pulsed voltammetry, under optimized conditions using AgZMWCNT electrode and UV-Vis spectrophotometry methods to determine the IBP degradation performance for each electrode. AgZMWCNT electrode exhibited a dual character allowing a double application in IBP degradation process and its control.

摘要

这项工作描述了布洛芬在两种基于多壁碳纳米管的复合材料电极上的电化学行为,即多壁碳纳米管-环氧树脂(MWCNT)和银修饰沸石-多壁碳纳米管-环氧树脂(AgZMWCNT)复合材料电极。复合材料电极是通过双辊轧机程序获得的。复合材料表面的 SEM 图像显示了复合成分在环氧树脂基质内的均匀分布。AgZMWCNT 复合电极表现出更好的导电性和更大的电化学活性表面积。通过循环伏安法、差分脉冲伏安法、方波伏安法和计时安培法,使用 AgZMWCNT 实现了布洛芬(IBP)的电化学测定。在 1.2 和 1.75 V 对 Ag/AgCl 的控制电解下,IBP 在两个复合电极上都发生了降解,并且在优化条件下,使用 AgZMWCNT 电极和 UV-Vis 分光光度法比较差分脉冲伏安法测定了每个电极的 IBP 降解性能。AgZMWCNT 电极表现出双重特性,允许在 IBP 降解过程及其控制中进行双重应用。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验